By Stephen H. Fairclough, Kiel Gilleade
This edited assortment will offer an outline of the sector of physiological computing, i.e. using physiological indications as enter for laptop keep watch over. it is going to hide a breadth of present examine, from brain-computer interfaces to telemedicine.
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Additional info for Advances in Physiological Computing
2001) also found that the subject’s daily mood (long-term psychological state) affects what emotion (short-term psychological state) can be expressed and to what degree. Kreibig (2010) thus emphasized the importance of separating moods from emotions, but Wilhelm and Grossman (2010) noted that it is very difficult to capture mood alterations with physiology in most studies. Luckily, many confounding factors can be measured using various sensors. g. physical activity using accelerometers, speech using respiration sensors, food intake using electronic diaries or circadian rhythms using clocks.
Nonetheless, some issues still need to be addressed. Real-Time Noise Removal Physiological computing systems must be able to quickly detect and respond to changes in the inferred psychophysiological state. 8 The additional heartbeat is added either halfway between two real heartbeats (column ‘at 50 %’) or at 20 % of the interval between two real heartbeats (column ‘at 20 %’) can be measured in real time, real-time processing is significantly more challenging. First of all, the raw data often contains noise that is not at all related to the measured physiological response.
This can help us better evaluate the practical usefulness of the classifier. For instance, if we have three possible levels of stress (low, medium and high), we may accept a classifier that regularly confuses low and medium stress, but always correctly detects high stress, as we would only wish to react to high stress. g. Picard et al. 2001), but not very frequently in physiological computing. Finally, classification (which selects one psychological class out of many) is not the only possible method of psychophysiological inference.